Adaptive Dynamic Programming and Adaptive Optimal Output Regulation of Linear Systems

By Weinan Gao, Zhong-Ping Jiang. IEEE Transactions on Automatic Control, 2016

373 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Computational Theory and Mathematics, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/506cd0bee3182dbc8f14703a75da7d3f07a6db02

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biomedical Engineering

1. Qinglai Wei
2. Derong Liu
3. Bo Zhao
4. Ding Wang
5. Shan Xue
6. Haibo He
7. Biao Luo

In Computational Theory and Mathematics

1. Derong Liu
2. Qinglai Wei
3. Haibo He
4. Ding Wang
5. Biao Luo
6. Bo Zhao
7. Shan Xue
8. Frank L. Lewis

In Electrical and Electronic Engineering

1. Derong Liu
2. Qinglai Wei
3. Ding Wang
4. Biao Luo
5. Haibo He
6. Bo Zhao
7. Shan Xue
8. Frank L. Lewis

Citations in the corpus

• Adaptive Dynamic Programming for Control: A Survey and Recent Advances (2021, methodology): “mized by combining output regulation and ADP in [156] to Algorithm 2 LQR Based on IRL for System (49) and (50) (See [162])”
• Adaptive Critic Nonlinear Robust Control: A Survey (2017, methodology): “This motivates us to develop an approximate strategy to overcome the difficulty [66], [68], [69], [76], [77], [81]–[85], [120], [126], [131], which results in the ADP-based neural control design.”